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Big data analysis and labour market: an analysis of Italian online job vacancies data

  • Francesca Giambona
  • Adham Kahlawi
  • Lucia Buzzigoli
  • Laura Grassini
  • Cristina Martelli

Economists and social scientists are increasingly making use of web data to address socio-economic issues and to integrate existing sources of information. The data produced by online platforms and websites could produce a lot of useful and multidimensional information with a variety of potential applications in socio-economic analysis. In this respect, with the internet growth and knowledge, many aspects of job search have been transformed due to the availability of online tools for job searching, candidate searching and job matching. In European countries there is growing interest in designing and implementing real labour market information system applications for internet labour market data in order to support policy design and evaluation through evidence-based decision-making. The analysis of labour market web data could provide useful information for policy-makers to define labour market strategies as big data, jointly with official statistics, support policy makers in a pressing policy question namely “How to tackle the mismatch between jobs and skills?”. In this regard, the topic of skills gap, how to measure it and how to bridge it with education and continuous training have been tackled by using the big data collection, such as the Cedefop (European Center for the Development of Vocational Training) initiative and the Wollybi Project (made by Burning Glass). In this framework, this contribution focuses on the issues arising from the use (and the usefulness) of on-line job vacancy data to analyse the Italian labour market by using the Wollybi data available for the years 2019 and 2020. Furthermore, the availability of data for the year 2020, will allow us to evaluate whether there has been an impact of COVID19 in terms of needed skills and required occupations in the online job vacancies.

  • Keywords:
  • Big data,
  • Labour market,
  • BGT data,
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Francesca Giambona

University of Florence, Italy - ORCID: 0000-0002-1760-2062

Adham Kahlawi

University of Florence, Italy - ORCID: 0000-0003-4040-5590

Lucia Buzzigoli

University of Florence, Italy - ORCID: 0000-0003-3297-1023

Laura Grassini

University of Florence, Italy - ORCID: 0000-0003-4678-6507

Cristina Martelli

University of Florence, Italy

  1. Cammeraat, E., Squicciarini M. (2020), Burning Glass Technologies’ Data Use in Policy-Relevant Analysis: An Occupation-Level Assessment. OECD Science, Technology and Industry Working Papers 2021/05.
  2. Cedefop (2018), Mapping the landscape of online job vacancies. Background report: Italy, <https://www.cedefop.europa.eu/en/publications-and-resources/>.
  3. Cedefop (2019), Online Job Vacancies and Skills Analysis. A Cedefop pan-European Approach, The European Centre for the Development of Vocational Training, Thessaloniki.
  4. Deming, D.J., Noray K. (2020). Earnings Dynamics, Changing Job Skills, and STEM Careers. Quarterly Journal of Economics. Forthcoming. ETF (2019), Big Data for labour Market Intelligence”, European Training Foundation, pp. 1-49.
  5. ETF (2019), Big Data for labor Market Intelligence, European Training Foundation.
  6. OECD (2020), What skills do employers seek in graduates? Using online job posting data to support policy and practice in higher education, OECD Education Working Papers, No. 231.
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  • Publication Year: 2021
  • Pages: 117-120
  • Content License: CC BY 4.0
  • © 2021 Author(s)

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  • Publication Year: 2021
  • Content License: CC BY 4.0
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Chapter Information

Chapter Title

Big data analysis and labour market: an analysis of Italian online job vacancies data

Authors

Francesca Giambona, Adham Kahlawi, Lucia Buzzigoli, Laura Grassini, Cristina Martelli

Language

English

DOI

10.36253/978-88-5518-461-8.22

Peer Reviewed

Publication Year

2021

Copyright Information

© 2021 Author(s)

Content License

CC BY 4.0

Metadata License

CC0 1.0

Bibliographic Information

Book Title

ASA 2021 Statistics and Information Systems for Policy Evaluation

Book Subtitle

BOOK OF SHORT PAPERS of the on-site conference

Editors

Bruno Bertaccini, Luigi Fabbris, Alessandra Petrucci

Peer Reviewed

Publication Year

2021

Copyright Information

© 2021 Author(s)

Content License

CC BY 4.0

Metadata License

CC0 1.0

Publisher Name

Firenze University Press

DOI

10.36253/978-88-5518-461-8

eISBN (pdf)

978-88-5518-461-8

eISBN (xml)

978-88-5518-462-5

Series Title

Proceedings e report

Series ISSN

2704-601X

Series E-ISSN

2704-5846

272

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